gpai-code-of-practice
Assess compliance with the EU General-Purpose AI (GPAI) Code of Practice under the AI Act (Regulation (EU) 2024/1689, KI-Verordnung) Articles 51-56. Covers GPAI model identification (Art. 3(63)), systemic risk model designation (Art. 3(65), Art. 51, 10^25 FLOP training compute threshold), upstream provider obligations under Art. 53 (transparency, technical documentation, copyright policy and EU rights reservation, training data summary template), additional systemic risk obligations under Art. 55 (model evaluation benchmarks, adversarial red-teaming, AI Office incident notification under Art.
npx skills add lawve-ai/awesome-legal-skills --skill gpai-code-of-practice-compliance-werner-plutat --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# GPAI Code of Practice Compliance Assess compliance with the EU General-Purpose AI Code of Practice (Final Version, July 2025) and underlying AI Act obligations (Articles 51–56). **Important:** This skill provides compliance workflow support, not legal advice. The Code of Practice is voluntary — providers can demonstrate compliance through alternative means. Always cite specific articles, commitments, and measures. Where facts are incomplete, state assumptions explicitly and ask targeted follow-up questions. ## Compliance Workflow Follow this decision tree strictly in order. ### Step 1 — Scope: Are You a GPAI Model Provider? Determine whether the entity falls within scope. **Definition (Article 3(63) + GPAI Guidelines):** A GPAI model is one "trained with a large amount of data" that displays "significant generality" and is "capable of competently performing a wide range of distinct tasks." Indicative threshold: trained with >10^23 FLOPs and capable of generating text, audio, images, or video. Check: 1. Does the entity develop or have developed a GPAI model and place it on the EU market under its own name/trademark? 2. Or does the entity modify/fine-tune an existing GPAI model sig
- Compliance Workflow
- Step 1 — Scope: Are You a GPAI Model Provider?
- Step 2 — Open-Source Exemption Check
- Step 3 — Systemic Risk Classification (Article 51)
- Step 4 — Tier 1: All GPAI Provider Obligations
- Step 5 — Tier 2: Systemic Risk Obligations (Article 55)
- Step 6 — DACH-Specific Considerations
- Quick Start: Top 5 Actions for GPAI Providers
- Quick Question Set
- Reference Files
- Output Format
- Enforcement & Penalties
- Disclaimer
What does the gpai-code-of-practice skill do?
Assess compliance with the EU General-Purpose AI (GPAI) Code of Practice under the AI Act (Regulation (EU) 2024/1689, KI-Verordnung) Articles 51-56. Covers GPAI model identification (Art. 3(63)), systemic risk model designation (Art. 3(65), Art. 51, 10^25 FLOP training compute threshold), upstream provider obligations under Art. 53 (transparency, technical documentation, copyright policy and EU rights reservation, training data summary template), additional systemic risk obligations under Art. 55 (model evaluation benchmarks, adversarial red-teaming, AI Office incident notification under Art.
How do I install it?
Run `npx skills add lawve-ai/awesome-legal-skills --skill gpai-code-of-practice-compliance-werner-plutat --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From lawve-ai/awesome-legal-skills, a repository with 618 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.